This paper presents a novel intelligent multiple-controller framework incorporating a fuzzy-logic-based switching and tuning supervisor along with a generalised learning model (GLM) for an autonomous cruise control application. The proposed methodology combines the benefits of a conventional proportional-integral-derivative (PID) controller, and a PID structure-based (simultaneous) zero and pol...

The purpose of this study is to design an intelligent control system to guide the overtaking maneuver with a higher performance than the existing systems. Unlike the existing models which consider constant values for some of the effective variables of this behavior, in this paper, a neural network model is designed based on the real overtaking data using instantaneous values for variables. A fu...

Autonomous vehicles require sophisticated software controllers to maintain vehicle performance in the presence of vehicle faults. The test and evaluation of complex software controllers is a challenging task. The goal of this eeort is to apply machine learning techniques to the general problem of evaluating an intelligent controller for an autonomous vehicle. The approach involves subjecting a ...

performance and development are based on hard work, experience and learning. learning how to change different behaviors is crucial to successful talent management plans. within the brain there are complex connected circuits that can identify threats. the brain reacts to change as a threat. there is also a collection of brain structures tied to a natural reward system that are involved in the re...

This paper presents an intelligent speed control system based on self tuning fuzzy PID controller for a brushless DC motor.PWM based motor current control is implemented with the help of three hall sensors placed around the motor shaft and a three phase inverter model is implemented for motor commutation .Dynamic performance of electromagnetic torque developed are analysed for this model. Tradi...

Static Synchronous Series Compensator (SSSC) is a series compensating Flexible AC Transmission System (FACTS) controller for maintaining to the power flow control on a transmission line by injecting a voltage in quadrature with the line current and in series mode with the line. In this work, an Adaptive Network-based Fuzzy Inference System controller (ANFISC) has been proposed for controlling o...

This paper describes a methodology for creative learning that applies to man and machines. Creative learning is a general approach used to solve optimal control problems. The creative controller for intelligent machines integrates a dynamic database and a task control center into the adaptive critic learning model. The task control center can function as a command center to decompose tasks into...

To provide a rich learning experience, an intelligent tutoring agent should be able to take into account past and present events, and to learn from its interactions with learners to continuously improve the assistance it provides. Until now, the learning capabilities of tutoring agents in educational technologies have been generally very limited. In this chapter, we address this challenge with ...

In a solar power plant, solid phase transformer and an optimization coordinated controller are utilized to improve transient responsiveness. Transient stability issues in contemporary electrical system represent one of the difficult tasks for engineer due rise uncertain renewable energy sources (RESs) as result need green energy. The potential terminal voltage be adversely impacted by this grea...